Software Engineer Jobs in Jersey City, NJ

Develop and test systems-level C++ software that defines and enforces endpoint behavior. Initially, the engineer will own testing infrastructure and coverage for two active projects, then contribute to feature development. The role requires strong C++ fundamentals, automated testing experience, and interest in operating-system concepts such as processes, file systems, services, and APIs. Work includes learning unfamiliar systems, collaborating effectively, and supporting reliable endpoint security and management capabilities.

Design and implement scalable backup software for endpoints, servers, and cloud applications. Develop Java and Kotlin services, optimize databases and queries, debug production systems, and resolve distributed-system performance issues. Contribute code, reviews, architecture discussions, documentation, and cross-team reliability initiatives. Mentor engineers and help deliver resilient products operating at large scale.

Lead development and architecture of highly scalable Java services supporting NinjaOne’s third-party patching catalog. Design high-availability systems, solve complex scalability and system-design challenges, improve quality and performance, collaborate cross-functionally, mentor engineers, and own technical initiatives. The role requires expertise in Java, RESTful APIs, Spring, relational databases, caching, asynchronous application design, and large-scale cloud systems.

Develop and architect scalable Java software for NinjaOne’s endpoint management platform. The role involves building high-availability services, leading technical initiatives, making architectural decisions, improving quality practices, collaborating cross-functionally, mentoring engineers, and addressing scalability, performance, and technical debt challenges.

Develop and scale backend patch-management software using Java and Kotlin for millions of endpoints. Implement enterprise software, design scalable systems, build REST services, work with relational databases and caching systems, and uphold rigorous testing and quality standards. Collaborate with AI workflow, server, platform, design, and product teams. React or Angular experience may support occasional frontend work.

Design and develop scalable, highly available software systems for NinjaOne’s IT Operations platform. Build Java and Kotlin applications, implement enterprise design patterns, optimize systems serving millions of endpoints, and contribute production code. Responsibilities include REST service development, relational database work, client-server messaging, caching, scalability improvements, and quality testing. The role collaborates with engineers to deliver reliable cloud services supporting worldwide operations.

Design, build, and maintain reliable, secure, and scalable platform software within an SRE/DevOps environment. Implement observability, CI/CD, container orchestration, cloud services, and AI-assisted development practices while mentoring engineers and improving system resilience and automation.

Leads the design, development, testing, and deployment of scalable Java applications and distributed systems for an indices prototyping platform. Responsibilities include building microservices, using AWS cloud services, implementing containerization, improving performance and reliability, developing user interfaces, fixing defects, maintaining code quality and automation, and mentoring junior engineers.

The role involves designing, developing, and maintaining backend APIs, optimizing backend architecture, and collaborating with teams to meet product strategies.

The Software Engineer II will design and implement features for the Developer Experience platform, focusing on CI tools, test systems, and integrations. Responsibilities include end-to-end ownership of projects, code reviews, and onboarding new team members.

Build and operate NICE’s internal AI platform, including MCP integrations, agent orchestration, model gateways, RAG and vector search pipelines, prompt management, LLM evaluations, developer tooling, CI/CD, observability, and production services. The role requires hands-on full-stack development with Python or TypeScript, Azure AI services, LLM applications, agent frameworks, API design, asynchronous programming, and cloud deployment.

Leads software engineering for large-scale AWS infrastructure and platform services. Designs, develops, tests, secures, and supports production workloads using Python, Terraform, automation, infrastructure as code, and continuous delivery. Provides technical guidance, reviews code, influences architecture and operational decisions, promotes SDLC standards, and governs responsible AI-assisted engineering practices. Serves as a subject matter expert and coaches teams on secure, scalable, and compliant cloud development.

Design and develop large-scale distributed systems focused on scalability, latency, efficiency, and fault tolerance. Translate product objectives into technical designs and roadmaps, own multiple systems, and identify business-impact opportunities. Provide technical oversight to engineers, participate in agile ceremonies and technical reviews, and maintain quality through code reviews. The role requires Java and J2EE development, REST APIs, Spring Boot, testing, CI/CD, databases, and related development tools.

Develop and execute end-to-end software testing for enterprise storage management applications and storage array solutions. Create feature-based test plans, maintain QA processes, support CI/CD automation, validate APIs, investigate customer issues, and assist field teams with debugging and issue reproduction. Collaborate within Agile teams while applying knowledge of server, storage, networking, Linux, and data storage technologies.

Develop and execute end-to-end QA validation for enterprise storage management applications and storage array solutions. Create feature-based test plans, maintain CI/CD automation pipelines, test APIs, troubleshoot customer issues, recreate field defects, and collaborate with development and field teams. The role requires knowledge of storage, server, networking, Linux, Agile QA processes, and programming or scripting in Python, JavaScript, and Shell.

Design, develop, and maintain network datapath monitoring and observability infrastructure for GPU cloud services. Build real-time network telemetry and analytics pipelines across host networking, smart NICs, and overlay/underlay networks. Collaborate with DevOps, production, and data platform teams; troubleshoot Kubernetes and cloud networking issues; participate in on-call support, code reviews, architecture decisions, and continuous infrastructure improvements.

Design, build, and operate secure sandboxed runtime environments for Kubernetes and GPU-accelerated workloads. Develop GPU-aware scheduling, isolation, and resource management strategies; optimize container, VM, I/O, and GPU performance; conduct profiling and benchmarking; and contribute to Linux, container runtime, virtualization, and GPU driver architecture. Collaborate with security, platform, and infrastructure teams to establish runtime isolation and performance standards for multi-tenant systems.

The Senior Software Engineer will design and support Kubernetes infrastructure, develop applications in Go, and enhance platform reliability, performance, and observability in CoreWeave's AI-focused environment.

Leads architecture and delivery of workflow automation, AI/ML pipelines, and cloud-native solutions across AWS, Azure, and GCP. Develops production-grade software, establishes Terraform and CI/CD standards, operationalizes model lifecycles, and promotes secure, resilient, cost-effective engineering practices. Scales enterprise AI-assisted development and SDLC automation across teams through governance, quality controls, responsible AI practices, and measurable delivery improvements.

Develop and execute software test plans for enterprise storage management applications. Validate storage array solutions end to end, maintain QA processes and CI/CD automation, perform API integration testing, and troubleshoot customer issues. Collaborate with engineering and field teams on debugging, issue reproduction, risk management, and feature delivery. The role requires experience with Python, JavaScript, Shell scripting, server, storage, networking, Agile QA methodologies, and Linux-based software testing.

Provides technical leadership and hands-on engineering for liquidity risk applications. Builds enterprise services and APIs with Python, develops Snowflake data solutions using complex SQL, and delivers workflows spanning UI, APIs, and data warehouses. Responsibilities include solution design, deployment, mentoring engineers, risk and control management, resiliency, performance optimization, stakeholder collaboration, and delivery planning. Preferred experience includes CI/CD, containerization, AWS, FastAPI, dashboards, and financial markets.

Develop scalable backend services and APIs, create coding tasks and deterministic verifiers for AI systems, debug complex codebases, optimize performance, refactor legacy systems, implement features, and provide technical reviews and reasoning. The role is remote, contract-based, and part-time at 15–20 hours per week.

Lead design and deliver multi-cloud AI/ML solutions that ingest and correlate telemetry (metrics, logs, traces), build predictive anomaly detection and forecasting models, automate closed-loop remediation, integrate with ticketing systems, and provide self-service or conversational interfaces to reduce MTTR and ticket volume.

Lead the design, development, and operation of secure, scalable AI/ML cloud platforms. Build infrastructure, automation, APIs, deployment workflows, and GPU-enabled environments for model training and inference. Drive reliability, observability, cost optimization, incident response, and enterprise LLM operationalization. Partner with data science and engineering teams while promoting responsible AI-assisted development, secure coding, automated testing, and production-quality delivery.

Leads design and development of real-time, mission-critical software using Java and Kafka. Provides technical leadership across system design, application development, testing, cloud-native delivery, resiliency, security, and performance optimization. Promotes AI-assisted engineering practices, validates AI outputs, evaluates architecture and vendors, and mentors teams through communities of practice. The role operates within an agile financial services technology environment.